muapi-freeze-effect-video skill
Generate a cinematic "freeze effect" video where time stops mid-scene, the subject walks through the frozen world, then time resumes with a snap.
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Install the muapi-freeze-effect-video skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-Skills.git /tmp/Generative-Media-Skills mkdir -p ~/.claude/skills cp -r /tmp/Generative-Media-Skills/library/motion/freeze-effect-video ~/.claude/skills/muapi-freeze-effect-video
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Freeze Effect Video
Generate a cinematic "freeze effect" video where time stops mid-scene, the subject walks through the frozen world, then time resumes with a snap.
Inputs
Steps
Phase A — Generate the Freeze Effect Video
Submit the plan with ONE step:
- Freeze effect video — muapi video from-image (model=seedance-v2.0-i2v, quality=high, generate_audio=true):
- Reference image: {{photo}}
- Aspect ratio: {{aspect_ratio}}
- Duration: {{duration}}
- Resolution: 720p
- Prompt:
Ultra-realistic, shot on Arri Alexa Mini, 35mm lens, {{scene}}, volumetric haze, dynamic hard shadows, shallow depth of field.
Main Character:
The person from @image1. Facial features and body proportions remain consistent across all shots.
[0:00–0:03]
{{scene}}. Time flows normally.
Steadicam frontal medium shot tracking the person walking confidently through the crowd.
The crowd erupts in euphoria around them.
As the person walks, they raise their right hand and snap.
[0:03–0:06]
At the snap, a subtle spherical shockwave bursts from their fingertips — air distortion and light refraction ripple outward.
Everything freezes mid-motion.
{{freeze_moment}}.
Neon light catches dust and liquid in the air.
Absolute silence.
[0:06–0:09]
Only the person moves.
Soft, echoing footsteps.
Camera tracks backward as they walk through the frozen scene, observing calmly.
They reach out and pluck a single suspended detail from the air.
[0:09–0:11]
They stop in front of a frozen onlooker, face locked in an ecstatic expression.
The person tilts their head, gently observes.
Softly: "{{closAfter generation, present the video to the user.
Notes
- The character's identity is anchored by @image1 — the reference photo must clearly show the main subject's face.
- For best results, choose a scene with crowd energy and lots of small objects (liquid, confetti, sparks) that can plausibly "freeze" in midair.
- If the model rejects realistic human likeness, switch to the Global tier model (seedance-2-image-to-video-fast) which allows looser identity matching.
- For vertical/social delivery, set aspect_ratio=9:16 and keep duration=10 for tighter pacing.
- Always keep generate_audio=true — the snap → silence → snap audio arc is the signature of this effect and should not be muted.
Trigger Keywords
freeze effect, time freeze video, time stop video, snap freeze, frozen world, bullet time crowd, time stand still, pause time effect
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPIAPIKEY is unset.
- For model IDs without a CLI alias yet, fall back to the raw endpoint via curl -X POST https://api.muapi.ai/api/v1/ -H "x-api-key: $MUAPIAPIKEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait .
- Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.
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